Detailed Human Avatars from Monocular Video
2018 International Conference on 3D Vision (3DV)(2018)
摘要
We present a novel method for high detail-preserving human avatar creation from monocular video. A parameterized body model is refined and optimized to maximally resemble subjects from a video showing them from all sides. Our avatars feature a natural face, hairstyle, clothes with garment wrinkles, and high-resolution texture. Our paper contributes facial landmark and shading-based human body shape refinement, a semantic texture prior, and a novel texture stitching strategy, resulting in the most sophisticated-looking human avatars obtained from a single video to date. Numerous results show the robustness and versatility of our method. A user study illustrates its superiority over the state-of-the-art in terms of identity preservation, level of detail, realism, and overall user preference.
更多查看译文
关键词
Human Shape,3D Reconstruction,Monocular
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络